Optimizing Robot Maze Navigation: A Novel Control Algorithm for Enhancing Energy Efficiency

Robots designed for maze-solving tasks often rely on simple pathfinding strategies, such as consistently following the left or right wall. While effective in basic mazes, these approaches can become inefficient and energy-intensive for more intricate layouts. In the most critical scenario, a robot depleted of energy could become trapped within the maze, rendering its mission unsuccessful. This paper addresses this challenge by introducing a novel algorithm for navigating mazes with the objective of finding the shortest path to the exit. This algorithm goes beyond traditional wall-following methods, aiming to optimize energy consumption and navigation efficiency. Additionally, the paper explores the integration of a PID control algorithm to enhance the robot's movement precision within the maze environment. By maintaining a straight line, when possible, the robot can further minimize unnecessary movements and enhance its overall performance. This work contributes to the field of robotic maze-solving by proposing a more sophisticated pathfinding approach that prioritizes energy conservation and efficient navigation. Furthermore, the implementation of a PID control algorithm allows for improved trajectory control, leading to more precise movements within the maze.